Paper Citation Record · LEDGER

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

As of 4 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 3 inbound Pith citation observations for arXiv:2601.15808.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.15808 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T12:29:06.229857Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T03:45:55.587604Z

Reference resolution

22 of 22 outbound references displayed

verified exact12
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4d81aeb-84e0-4f0d-a949-39facba0d072 · outbound

This paper cites TapeAgents: a Holistic Framework for Agent Development and Optimization.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification TapeAgents: a Holistic Framework for Agent Development and Optimization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.857510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d64e2b4-bdb0-42d8-bfb6-0611144d6125 · outbound

This paper cites xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.853442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71ebb346-b115-4363-8325-d79ca0f34d83 · outbound

This paper cites KCTS: knowledge-constrained tree search decoding with token-level hallucination detection.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification KCTS: knowledge-constrained tree search decoding with token-level hallucination detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:30:54.310156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31f93883-e168-42d1-9d4b-d7876a02e6d5 · outbound

This paper cites URL https://doi.org/10.18653/v1/2023.emnlp-main.867.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification URL https://doi.org/10.18653/v1/2023.emnlp-main.867

Reference 4

Resolution: verified exact; doi, observed 2026-05-16T12:30:53.793557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b96ad2a7-3a35-4532-953a-5050d2e65b44 · outbound

This paper cites WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.875593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be25c1d3-fc9a-4a65-aa86-687ff91db3e9 · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:30:53.898939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 026dae31-73ab-495c-945c-42a9fff7faef · outbound

This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:30:53.881950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8ef525d-b8c8-46fd-8b57-92e6c755c1ae · outbound

This paper cites WebSuite: Systematically Evaluating Why Web Agents Fail.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebSuite: Systematically Evaluating Why Web Agents Fail

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T12:30:53.902823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b90de6d2-0ee8-41f7-8d01-98fe6dd19626 · outbound

This paper cites WebSuite: Systematically Evaluating Why Web Agents Fail.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebSuite: Systematically Evaluating Why Web Agents Fail

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T12:30:53.786370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27b55389-9037-44f3-8b5c-0034a8739e23 · outbound

This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebSailor: Navigating Super-human Reasoning for Web Agent

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:37:09.773663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0a67d5ae-d413-403d-894d-6673788b514a · outbound

This paper cites Agentrewardbench: Evaluating automatic evaluations of web agent trajectories.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Agentrewardbench: Evaluating automatic evaluations of web agent trajectories

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T12:30:53.891278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 90cb41df-f7d5-42c5-be03-73a1f6f0d849 · outbound

This paper cites Autonomous Evaluation and Refinement of Digital Agents.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Autonomous Evaluation and Refinement of Digital Agents

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.849781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13226e46-a925-406b-81a8-b4fe06df8540 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:30:53.906553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fc8b545-4daa-4caf-9018-d1ad5b35e4dd · outbound

This paper cites Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.870904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d7d99522-aeb0-4016-b5c3-b86392a3243b · outbound

This paper cites Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents.

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T12:30:53.791034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83764175-b33f-4820-a6c4-22956ca5265d · outbound

This paper cites WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.879074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b885cc4b-c826-4328-8b02-ac9eea9dfe58 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:30:53.895063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a9769eec-10b3-4eef-b38c-56cc115b91e1 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification TextGrad: Automatic "Differentiation" via Text

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:30:53.864528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee259c2e-f85b-4828-af71-34fc4bfc00c2 · outbound

This paper cites How far are we from genuinely useful deep research agents?arXiv preprint arXiv:2512.01948, 2025a.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification How far are we from genuinely useful deep research agents?arXiv preprint arXiv:2512.01948, 2025a

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.873857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 034f1ad8-b452-4d29-a483-52e8d4704339 · outbound

This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Reference 23

Resolution: malformed identifier; doi_truncated, observed 2026-05-16T12:30:53.796093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 692c93f6-dd87-4ead-8762-64128bc144a2 · outbound

This paper cites Agent-as-a-Judge: Evaluate Agents with Agents.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Agent-as-a-Judge: Evaluate Agents with Agents

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.885575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4a8d047-23bb-449f-89f3-51f18f922c05 · outbound

This paper cites TTRL: Test-Time Reinforcement Learning.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification TTRL: Test-Time Reinforcement Learning

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:30:53.780583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation f72d902f-f82e-445b-88b4-4500d7bcc4df · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:10:23.484189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc690305-63b0-4174-98fa-5d095c2462be · inbound

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning cites this paper.

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-11T17:01:08.148937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c513d312-eab5-4b6a-9e8b-b56cbce3139b · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-09T03:45:55.589146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.